Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering

A Novel Algorithm for Filling Incomplete Data Based on Attribute Reduction

Authors
Yang Yang, Feng Liu, Shan Xiong Chen, Xiao Wen
Corresponding Author
Yang Yang
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.127How to use a DOI?
Keywords
attribute reduction, incomplete data, data filling
Abstract
Traditional data filling algorithms take the unified method to fill the incomplete data, leading to the low efficiency for filling a large number of incomplete data. This paper proposes a novel algorithm for filling incomplete data based on attribute reduction. The presented algorithm first uses the attribute reduction to distinguish the important attribute from unimportant attribute, and then fills the two kinds of data attributes using different filling technologies. Experiments show that this algorithm can effectively and quickly fill the large-scale incomplete data.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccsee.2013.127How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yang Yang
AU  - Feng Liu
AU  - Shan Xiong Chen
AU  - Xiao Wen
PY  - 2013/03
DA  - 2013/03
TI  - A Novel Algorithm for Filling Incomplete Data Based on Attribute Reduction
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.127
DO  - https://doi.org/10.2991/iccsee.2013.127
ID  - Yang2013/03
ER  -